Model Context Protocol is an open standard that lets AI assistants and agents connect securely to your business systems through one consistent interface, instead of a custom integration for every tool. It’s what lets an AI agent go from “answering questions” to “retrieving your data and taking approved actions in Salesforce, your ERP, or your collaboration tools.”

No. MCP sits alongside your existing integrations as the layer that lets AI agents use them safely and consistently – it’s a connection standard for AI access, not a replacement for MuleSoft, Platform Events, or your existing API layer.

Yes, when it’s implemented with proper governance. MCP itself is now backed by enterprise-managed authorization standards and used in production at major enterprises, but security isn’t automatic – authentication, least-privilege access, tool-level controls, and audit logging all have to be deliberately built in, which is exactly what our MCP Security & Governance work covers.

No, though it helps. Agentforce ships a native MCP client and an AgentExchange marketplace of vetted MCP servers you can deploy no-code. Aquarient works both with what Agentforce already provides and with custom MCP servers for needs outside that catalog, or for connecting Salesforce to AI platforms other than Agentforce.

Traditional integrations are typically built point-to-point for one specific use case. MCP servers expose a system’s capabilities once, in a standardized way, so any MCP-compatible AI application — Claude, Agentforce, or others – can use them without a new integration each time. It’s a shift from “integrate this system with that one tool” to “expose this system’s capabilities to any AI agent that needs them, with governance built in.”

It’s a service – we design and build the MCP servers, security model, and agentic workflows specific to your systems and the AI platforms you use, drawing on our existing Salesforce, enterprise integration, and AI practice rather than starting from a generic template.